An Observational Study of Pedestrian
Behavior Between the Engineering and Science Building
How many people cross the crossing between the Engineering and
Science building? 🚶♂️
The plot above is a scatter plot with a regression line. It has the
following features:
Time (24-Hour) of Day plotted on the x-axis
Pedestrian counts on the y-axis
Points are colour-coded by weather (Pink: Sunny, Purple: Cloudy,
Blue: Rainy)
Blue-regression line that captures the overall trend in pedestrian
activity
Interpratation of Plot:
Midday Peak: The count of pedestrians tends to be
higher between 11am and 2pm, showing the lunchtime surge that usually
occurs.
Lower counts early & late: Fewer pedestrians
are observed early in the morning and later in the evening.
Relationship with weather and pedestrian count: It
is very difficult to interpret a relationship with weather and the
pedestrian count in this plot.
Is there a relationship with the weather condition and pedestrians
crossing? 🌤️
Average number of of pedestrians observed under
different weather conditions.
The plot above is a bar graph. It has the following features:
Weather type on the x-axis
Average numbers of pedestrians on the y-axis
Bars that are colour-coded by weather (Pink: Sunny, Purple: Cloudy,
Blue: Rainy)
Interpratation of Plot:
Sunny Weather has the highest average pedestrian
count, suggesting that people are more likely to be out walking when
it’s clear and pleasant.
Cloudy Weather comes after, with a slightly lower
average.
Rainy Weather has the lowest average pedestrian
activity, which is expected since people may avoid walking in the
rain.
How safe are people being?! 🚦
Pie charts of phone use and crossing early
The plots above are a pie charts. They have the following
features:
Phone Use Chart:
Blue = Pedestrians who used their phone while
crossing.
Pink = Pedestrians who did not use their
phone.
Early Crossing Chart:
Blue = Pedestrians who crossed before the green
light.
Pink = Pedestrians who waited for the green
signal.
Uses coord_polar() to create the circular pie
representation
Interpratation of Plots:
A majority of pedestrians did not use their phone
while crossing, which suggest good practice for road crossing
safety.
A good chunk of pedestrian observations still use their phone
suggesting a potential distraction issue, which may
raise safety concerns for road users
The early crossing chart shows that most pedestrians crossed before
the green light, reflecting potential impatience, urgency, or reduced
perception of risk.
Does the time of day have anything to do with this? ⏰
Grouped bar graph of observations by hour and
phone use
The plot above is a grouped bar chart. It has the following
features:
X-axis shows hour of day
Y-axis shows number of pedestrian observations
Bars are colored by phone use: pink = used phone,
blue = did not use phone
Bars grouped by hour to compare phone vs. no-phone behavior over
time
Interpretation:
Phone use is generally less frequent than
non-use
non-usage peaks are seen around 8 AM, 2 PM, and 6
PM, possibly related to commuting or lunch times
Grouped bar graph of observations by hour and
early crossing
The plot above is a grouped bar chart. It has the following
features:
X-axis = Hour of day
Y-axis = Number of observations
Bars grouped by early crossing vs
waiting
Pink = crossed before green, blue =
waited
Interpretation:
In most hours, not waiting is more common,
suggesting that people may generally be in a rush at these times
Between 2 PM and 5 PM, early crossings
increase significantly
This may reflect impatience or lower
perceived traffic risk at those times